Rural Infrastructure: From Disparities to a Balanced Agricultural System and Better Quality of Life

Objective – to establish how rural infrastructure disparities affect the development of the agro-industrial complex and the quality of life of Kazakhstan’s population. Methods – comparative analysis of modern literature (2020–2025) on rural infrastructure, agricultural sector transformation, and rural well-being, forming the basis for systematizing key research directions. For the practical part, the index method, min-max normalization, matrix positioning of territories, and a heat map of standardized indicators were used. The integral index of structural imbalance was constructed based on data regarding water supply, the road network, and internet access. The physical volume index of AIC products and the Regional Well-Being Index were applied as outcome criteria. Results – literature increasingly considers infrastructure as a factor of territorial inequality; however, for the republic, the link between the material and technical base in rural areas, the strengthening of the agricultural sector, and necessary rural living standards remains insufficiently studied. Empirical analysis revealed a stable inverse relationship between the level of deficit in social and engineering services and the dynamics of agro-industrial production. It was established that rural settlements with high infrastructural imbalance more frequently display weaker rural transformation indicators. Regarding rural residents’ well-being, a more complex situation is observed: in several districts, the expected negative correlation is present, but it is not universal. Conclusions – the hypothesis regarding the negative impact of infrastructure inequality on increasing agro-industrial complex output was confirmed. The theory regarding the impact of infrastructural asymmetry on social provision was partially substantiated. The obtained results show that the infrastructural state of rural settlements acts as an important factor in rural territory sustainability and should be considered a significant tool in agricultural and regional policy.

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